South Korea¶

In [1]:

import matplotlib.pyplot as plt
from mpl_toolkits.basemap import Basemap
import numpy as np

# Set the latitudinal and longitudinal limits of the map.

minLat, maxLat = 32, 39
minLon, maxLon = 124, 132

# Create a figure and axes object.

fig = plt.figure(figsize=(8, 8))
ax = fig.add_axes([0.1, 0.1, 0.8, 0.8])

# Create a Basemap object with the specified projection and limits.

m = Basemap(
    projection='cyl',
    resolution='h',
    llcrnrlat=minLat,
    urcrnrlat=maxLat,
    llcrnrlon=minLon,
    urcrnrlon=maxLon,
    ax=ax
)

# Draw the blue marble background.

m.bluemarble()

# Add the coastline and country boundaries.

m.drawcoastlines(color='k')
m.drawcountries(color='k')

# Add the parallels and meridians.

parallels = np.arange(30, 40, 1)
meridians = np.arange(120, 135, 1)
m.drawparallels(
    parallels, 
    labels=[1, 0, 0, 0], 
    fontsize=14, linewidth=0.5
)
m.drawmeridians(
    meridians, 
    labels=[0, 0, 0, 1], 
    fontsize=14, 
    linewidth=0.5
)

# Set the title of the plot.

plt.title('Map of South Korea', fontsize=20)

# Save the figure and display it.

plt.show()

import matplotlib.pyplot as plt from mpl_toolkits.basemap import Basemap import numpy as np # Set the latitudinal and longitudinal limits of the map. minLat, maxLat = 32, 39 minLon, maxLon = 124, 132 # Create a figure and axes object. fig = plt.figure(figsize=(8, 8)) ax = fig.add_axes([0.1, 0.1, 0.8, 0.8]) # Create a Basemap object with the specified projection and limits. m = Basemap( projection='cyl', resolution='h', llcrnrlat=minLat, urcrnrlat=maxLat, llcrnrlon=minLon, urcrnrlon=maxLon, ax=ax ) # Draw the blue marble background. m.bluemarble() # Add the coastline and country boundaries. m.drawcoastlines(color='k') m.drawcountries(color='k') # Add the parallels and meridians. parallels = np.arange(30, 40, 1) meridians = np.arange(120, 135, 1) m.drawparallels( parallels, labels=[1, 0, 0, 0], fontsize=14, linewidth=0.5 ) m.drawmeridians( meridians, labels=[0, 0, 0, 1], fontsize=14, linewidth=0.5 ) # Set the title of the plot. plt.title('Map of South Korea', fontsize=20) # Save the figure and display it. plt.show()

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